High sensitivity methane analyzers have been deployed on transport vehicles (e.g., cars, drones) as an innovative means for monitoring natural gas infrastructure. A recently completed survey of 16 major U.S. cities used methane analyzers on Google Street View cars to map the locations of thousands of potential natural gas leaks. In this talk, we illustrate how new and existing statistical methods are being used to address important questions about local natural gas distribution systems using the data from these mobile sensors. These questions range from quantifying emissions of the greenhouse gas methane to assessing potential environmental justice concerns of natural gas pipelines. In addressing these questions, we develop statistical models that leverage data from multiple sources and show how our findings can be used to drive policy changes.